import torch

HAR2EV = 27.211386246
KCALMOL2EV = 0.04336414
EV2KCALMOL = 23.0605423
HARTREE2KCALMOL = 627.5094740631

qm9_label_conversion = torch.tensor([
    1., 1., HAR2EV, HAR2EV, HAR2EV, 1., HAR2EV, HAR2EV, HAR2EV, HAR2EV, HAR2EV,
    1., KCALMOL2EV, KCALMOL2EV, KCALMOL2EV, KCALMOL2EV, 1., 1., 1.
])